Artificial Intelligence (AI)
Facial Recognition – A New Parameter for Security and Customer Experience
Biometric technology – especially facial recognition- has set new dimensions for the business industries in terms of enhanced security and customer experience.
With the world moving towards technological advancements, every day we come face to face with innovations. These innovations are driving the way we lead our life. The things that we used to see in movies now we witness in real-life. A few years back who would have thought that the operations we handle manually will be automated and can be done within a glance.
Whenever we hear biometrics the first thing that comes to our mind is fingerprints but now it is not limited to it. Biometric technology – especially facial recognition– has set new dimensions for the business industries in terms of enhanced security and customer experience.
Face verification Replacing Traditional Authentication
Facial recognition technology is gaining strong grounds in the industry. Powered by artificial intelligence, it is transforming the traditional authentication checks, replacing the passwords. If we talk in terms of security, undoubtedly, face verification is an efficient verification and authentication tool. It can verify and authenticate the authorized user in real-time. The traditional authentication method relies on user ID and passwords. Username is to ensure who the person is and password to confirm that the user is who they say they are.
Simple as that right? But how can you ensure that credentials are only entered by the authorized entities? Anyone having access to the credentials can easily access the system that makes them vulnerable. To secure the systems and ensure that only authorized users can have access, businesses are readily integrating face recognition software with their systems.
Fighting Fraud in Real-time
The explosion of the internet and businesses moving towards digitization have opened new opportunities for cybercriminals and fraudsters. In the past few years, there is a continuous rise in digital frauds. It causes millions and billions of losses for the businesses, apart from legal liabilities. Passwords have failed to combat the fraudsters from accessing the system. Through social engineering and automated tools, hacking passwords is no more of a difficult task.
Face verification helps in fighting frauds and that too in real-time. Based on AI and machine learning algorithms, the face verification system can easily detect the spoofing attacks on the system. It confirms the remote presence and liveness of the user at the time of authentication. Moreover, with identity theft and account takeover frauds on the rise, businesses especially banks and e-commerce platforms need to their transactions. Through face verification, even the transactions can be authenticated to avoid fraudulent chargebacks.
In e-commerce businesses, the readily available information of the user on their accounts provides a golden opportunity for the fraudsters to takeover account and carryout fraudulent purchases. Requiring identity proof at the time of checkout through facial recognition hinders any unauthorized purchase and transaction. Moreover, it is an effective solution to fight against the card-not-present (CNP) fraud.
Enhanced Customer Experience
Most of us relate facial recognition to how we can unlock our mobile phones. But it is no more just that, instead it features enormous applications now. These changes have taken customer convenience to another level. The face of a person is now an identity token. In China, now you can pay by scanning your face in the system. While in the US, the people can check-in at Delta by showing their faces and enter the airports – for instance, Atlanta and Detroit. There is no need for waiting in queue to prove the identity.
Face verification makes the business more secure and provides users with the flexibility to verify their identities. Identity verification as easy as taking a selfie, what else would customers want? Moreover, the effort of remembering the passwords is eliminated due to face verification services.
No doubt, facial recognition is considered to be an effective solution for securing businesses. However, some companies have already started to look beyond the technology application of recognizing a human face. This technology is now all set to read human facial expressions and recognize how they feel without even asking them and that too in real-time. Amazon’s Rekognition is an example of such an initiative.
Helpful Resources:
1. Why is Cybersecurity Important For Enterprises?
2. 5 Website Security Tips Every Employee Should Know
3. Get VPS Hosting For Your Websites For Better Results
4. Top Ten Blockchain Applications That Are Transforming Industries
5. 6 of the Best Wireless Security Cameras You Can Get in [2019]
6. How to Protect WebSites Against Attackers or Hackers by using “X-Security Headers”
AI Tools
A Guide To Using AI for Knowledge Management
Using AI for knowledge management and to transform massive data pools into actionable insights is not just beneficial; it’s becoming a necessity to stay competitive.
In the digital era, the fusion of AI technology with knowledge management is revolutionizing the way organizations manage and exploit their informational assets. Using AI for knowledge management and to transform massive data pools into actionable insights is not just beneficial; it’s becoming a necessity to stay competitive. Keep reading to unlock the full potential of AI-driven knowledge management.
1. The Intersection of AI and Knowledge Management: A Synergy Explained
Knowledge management traditionally involves capturing, organizing, and distributing knowledge across an organization. When AI steps into this territory, the potential for enhanced efficiency and decision-making emerges. AI algorithms can sort through and analyze data at a rate no human can match, revealing patterns and insights that can be critical for strategic planning. This melding of AI with knowledge management practices is a modern alchemy, creating an invaluable resource.
One of the most significant benefits of integrating AI into knowledge management is the automation of data processing. AI systems can continuously learn from new data, refining their algorithms and providing even richer insights over time. Moving from static data repositories to dynamic knowledge hubs, businesses are now armed with constantly evolving intelligence. This represents a profound shift from data being a static historical record to a dynamic, predictive tool for decision-making.
Customization is another strong suit of AI in this space. Rather than one-size-fits-all information resources, AI can personalize knowledge dissemination to the needs of each employee. The focus moves beyond mere information access to ensuring the right knowledge reaches the right person at the right time.
2. Implementing AI in Your Knowledge Management Strategy
Transitioning to an AI-driven knowledge management system begins with identifying the scope and objectives of knowledge needed. Organizations must be clear about the kind of knowledge that is most valuable and how AI can aid in its cultivation and dissemination.
Following initial evaluations, the selection of appropriate AI tools and technologies becomes the next crucial step. There are various AI solutions designed for specific knowledge management tasks, from natural language processing for content analysis to machine learning models that predict trends and behaviors.
Integrating AI requires a cultural shift within the organization. Employee buy-in is crucial, and it is important to address any concerns about job displacement head-on. Training and educating the workforce on the benefits and use of AI systems can facilitate smoother adoption, ensuring everyone understands the role of AI as a partner, not a replacement, in the knowledge ecosystem.
3. The Impact of AI on Knowledge Retention and Dissemination
The true value of AI in knowledge management is often most visible when assessing knowledge retention and dissemination within the organization. AI-driven systems can significantly enhance the ability to capture institutional knowledge, store it and make it available in engaging, interactive formats that increase retention.
Analytics are also central to measuring the impact of AI on knowledge management. By evaluating these metrics, businesses can see whether the knowledge is being leveraged effectively, which areas may need more focus, and where improvements can be made.
Furthermore, AI can be a boon for training and development programs. By adapting to the learning pace and style of individual employees, AI can deliver personalized training recommendations and content, leading to more effective learning outcomes.
Altogether, AI is transforming the realm of knowledge management with its capacity to automate, personalize, and revolutionize how information is processed and utilized. Challenges notwithstanding, the rewards of integrating AI into knowledge management strategies are profound, paving the way for smarter.
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